Drop-in Session with Paragon Rapid Technology

Date: 
Tue, 24/09/2024 - 09:00 to 14:00
Location: 
The National Robotarium
Speaker: 
Paragon Rapid Technology
Paragon Rapid Technology

Additive Manufacturing & 3D Printing | CNC Machining | Traditional Production Technologies. We offer world-class support throughout the product development cycle, from innovation to manufacturing. Renowned for producing high performance polymer and metal parts and prototypes to exacting quality standards, Paragon Rapid Technologies is the preferred low volume production partner for thousands of customers across the aerospace, defence, energy, entertainment, automotive, medical, industrial and consumer industries in the UK.

Dr Karen Donaldson joins as an Elizabeth Georgeson Fellow

Dr Karen Donaldson has joined the University of Edinburgh on an Elizabeth Georgeson Fellowship where she will be working on robotics for planetary exploration. Dr Donaldson worked at the University of Edinburgh as part of the Connect-R EPSRC project for robotics in unstructured environments, she then was a project manager at the National Robotarium. Please get in touch with her about potential collaborations. 

Accelerating Large Language Models with Groq’s LPU Machine Learning Chips

Date: 
Thu, 26/09/2024 - 16:00 to 17:00
Location: 
Informatics Forum, G.07 & Zoom (details in description)
Speaker: 
Dr Satnam Singh
Groq

This is a Joint AIAI, ANC, ICSA, ILCC, IPAB, LFCS seminar and Scottish Programming Languages Institute (SPLI) Distinguished Lecture

Groq’s Language Processing Unit (LPU) chips are reshaping the landscape of large language model (LLM) deployment at scale. By prioritizing low latency and high throughput, our hardware and software stack enables rapid and efficient inference, making it ideal for applications where LLMs must be invoked repeatedly by agents e.g. for solving mathematical problems.

From Deep Reinforcement Learning to LLM-based Agents: Perspectives on Current Research

Stefano Albrecht has recently returned from a two-week China trip where he gave many talks at top universities and tech companies. One of the highlights was a talk at the BAAI 2024 conference (Beijing Academy of Artificial Intelligence) in Beijing, which is widely regarded as the most important AI conference in China and has had many big speakers.

The journey to safe autonomous driving: from interpretable design to rigorous verification and validation

Date: 
Thu, 20/06/2024 - 14:00 to 15:30
Location: 
Heriot-Watt University, Room: EM 2.33
Speaker: 
Dr. Cheng Wang
Heriot-Watt University (Institute: ISSS)

Synopsis: Safety-critical systems such as autonomous driving need to operate safely in their real-world deployment. With the implementation of AI in these systems, new safety assurance paradigms are critical to mitigate the risks posed by AI as traditional rules-based controls are replaced by data-driven ones. In the talk, I will present an overview of existing methods for AI safety. Subsequently, I will introduce my contributions to this field by elaborating on the design of interpretable AI algorithms, explainable AI methods, and rigorous testing methodology.

Children's Voices in AI & Robotics: Forging an Inclusive Future

Date: 
Thu, 06/06/2024 - 12:00 to 14:00
Location: 
The National Robotarium, Third Gait Edinburgh EH14 4AS
Speaker: 
Camilla Irvine-Fortescue &
Heriot-Watt University

Join us to hear from the Children’s Parliament, where they’ll be sharing outcomes from their participatory engagement project with school children.

Since August 2022, the Children’s Parliament has been exploring the intersections of children’s human rights and AI development, use, and regulation in Scotland. We believe this was the first time children have been consulted on AI development nationally in Scotland.

Ethical Issues in Technology and Ageing

Date: 
Thu, 27/06/2024 - 14:00 to 15:00
Location: 
In-person: Earl Mountbatten Building (EM244) and Online (see bellow)
Speaker: 
Professor Andrew Sixsmith
Simon Fraser University, Vancouver

AgeTech is about using technologies, such as e-health, robotics, artificial intelligence, and mobile devices to support the health and independence of older people. While AgeTech has many benefits, it also brings ethical challenges and could be seen as a double-edged sword. Technology could lead to efficient and cost-effective services, but it can also be disruptive to people’s lives. In-home health monitoring systems raise concerns about privacy. Unequal access and use of technology—the digital divide—may increasingly impact on a person’s health.

It's written all over your face!": Aiding Facial Emotion Recognition Accuracy

Date: 
Thu, 06/06/2024 - 13:00
Location: 
Informatics Forum, G.03
Speaker: 
Jack Tsangou
The University of Edinburgh

This research presents an in-depth exploration of accurate and robust facial emotion recognition technology, with a focus on achieving effective performance across a diverse range of individuals in real-world settings. It addresses the challenges associated with the nature of training data and its ability to capture variations among subjects. This involves a critical examination of current affective datasets and their alignment with real-world scenarios, as well as considering the question, "Do all people express themselves in the same way?".